Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers

Methodological mistakes, data errors, and scientific misconduct are considered prevalent problems in science that are often difficult to detect. In this study, we explore the potential of using data from Twitter for discovering problems with publications. In this case study, we analyzed tweet texts...

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Veröffentlicht in:	Scientometrics Jg. 126; H. 6; S. 5181 - 5199
Hauptverfasser:	Haunschild, Robin, Bornmann, Lutz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.01.2021 Springer Nature B.V
Schlagworte:	Blogs Case studies Computer mediated communication Computer Science Coronaviruses COVID-19 Documents Early warning systems Emergency communications systems Errors Information Storage and Retrieval Library Science Misconduct Notices Professional misconduct Scientific community Scientific papers Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Texts Viral diseases COVID-19 Scientometrics Twitter SARS-CoV-2 Retracted papers Altmetrics
ISSN:	0138-9130, 1588-2861
Online-Zugang:	Volltext
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